4509219: C12_Research Methods I - IFS - specialization Part

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Semester:SS 18
Lektionen / Semester:30.0 L / 22.5 h
Selbststudium:67.5 h



Bachelorstudiengang Betriebswirtschaftslehre (01.09.2012)


  • Introduction to R
  • Collection of Financial Data from Financial Databases
  • Descriptive and Inferential Statistics for Financial Data (using R)
  • Modelling and Forecasting Financial Timeseries (using R)
  • Developing and formulating hypotheses
  • Collecting primary data using experiments
  • Collecting primary data using interviews or questionnaires
  • Sample selection


    • know how to conduct financial research and analysis
    • know and learn to use specific financial databases
    • name and understand descriptive statistics that are of relevance in financial research
    • learn and understand the properties of linear regression and time series analysis
    • understand and explain the different objectives of qualitative and quantitative research
    • understand the importance of sample selection as well as different sampling strategies
    • know and understand the basic principles of experimental design
    • know and understand the basic principles of designing surveys and interviews
    • know how to gather and analyse data
    • choose the correct method for an analysis
    • use "R" as a software package to analyse data
    • consider assumptions underlying specific statistical methods/models
    • find suitable approaches to statistically address given research questions
    • apply the methods learnt within a statistical software package (here: R)
    • interpret empirical/statistical findings prudently
    • can formulate testable hypotheses
    • can choose and motivate appropriate data collection methods for given research objectives
    • can choose and motivate appropriate sampling strategies for given research objectives
    • are aware of potential biases and confounders in primary data collection
    • listen carefully, read and repeat, practice until they understand the logic and mathematics behind models
    • work together and motivate peers who tend to give up as a reaction to the difficulty of mathematical problems
    • take responsibility and organize/explain their solution to others who have problems and tend to give up
    • comprehend arguments that are based on divergent epistemological, and ontological assumptions
    • understand and critically discuss the arguments of fellow students
    • understand the flaws and problems of fellow students, reaction without offense
    • reflect and question their own research philosophy
    • acknowledge the importance of diversity in academic thinking




Brooks, C. (2014). Introductory econometrics for finance. Cambridge university press.
DeFusco, R. A., McLeavey, D. W., Anson, M. J., Pinto, J. E., & Runkle, D. E. (2015). Quantitative investment analysis. John Wiley & Sons.
Sekaran, U., & Bougie, R. (2016). Research methods for business: A skill building approach. John Wiley & Sons.


  • written examination


19.02.201815:15 - 16:45S3
26.02.201815:15 - 16:45S3
05.03.201815:15 - 16:45S3
12.03.201815:15 - 16:45S3
26.03.201815:15 - 16:45S3
09.04.201815:15 - 16:45S3
16.04.201815:15 - 16:45S3
23.04.201815:15 - 16:45S3
30.04.201815:15 - 16:45S3
07.05.201815:15 - 16:45S3
14.05.201815:15 - 16:45S3
28.05.201815:15 - 16:45S3


  • PWW-BA-12_Research Methods I - IFS - Specialization - VO (SS 18, bewertet)
  • PWW-BA-12_HT_Research Methods I - IFS - Specialization - VO (SS 18, bewertet)
  • PWW-BA-12_Research Methods I - IFS - Specialization - VO (WS 18/19, abgesagt)